首页 | 本学科首页   官方微博 | 高级检索  
     

基于压缩感知的无线传感器网络数据收集研究综述
引用本文:乔建华,张雪英. 基于压缩感知的无线传感器网络数据收集研究综述[J]. 计算机应用, 2017, 37(11): 3261-3269. DOI: 10.11772/j.issn.1001-9081.2017.11.3261
作者姓名:乔建华  张雪英
作者单位:1. 太原理工大学 信息工程学院, 太原 030024;2. 太原科技大学 电子信息工程学院, 太原 030024
基金项目:山西省自然科学基金资助项目(2013011019-1)。
摘    要:为了对无线传感器网络的压缩数据收集有一个全面的认识和评估,对到目前为止国内外的相关研究成果作了一个系统的介绍。首先,介绍了压缩数据收集及改进方法的框架的建立;然后,分别根据无线传感器网络的传输模式和压缩感知理论的三要素,对压缩数据收集方法分类进行了阐述;接下来,说明了压缩数据收集的自适应和优化问题,与其他方法的联合应用,及实际应用范例;最后,指出了压缩数据收集存在的问题和未来的发展方向。

关 键 词:无线传感器网络  压缩感知  数据收集  路由  稀疏投影  
收稿时间:2017-05-19
修稿时间:2017-07-27

Compressed sensing based data gathering in wireless sensor networks: a survey
QIAO Jianhua,ZHANG Xueying. Compressed sensing based data gathering in wireless sensor networks: a survey[J]. Journal of Computer Applications, 2017, 37(11): 3261-3269. DOI: 10.11772/j.issn.1001-9081.2017.11.3261
Authors:QIAO Jianhua  ZHANG Xueying
Affiliation:1. School of Information Engineering, Taiyuan University of Technology, Taiyuan Shanxi 030024, China;2. School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan Shanxi 030024, China
Abstract:In order to have a comprehensive understanding and evaluation for the Compressive Data Gathering (CDG) in Wireless Sensor Network (WSN), a systematic introduction to the related research results at home and abroad so far was made. Firstly, the establishment of the frameworks of CDG and improved methods was introduced. Secondly, according to the transmission modes of WSN and Compressed Sensing (CS) theory respectively, the various methods of CDG were elaborated by classification. Then the problems of adaptation and optimization of CDG, the application of CS combined with other methods, and some examples of practical application were illustrated. Finally, the disadvantages in CDG and the development directions of CDG were pointed out.
Keywords:Wireless Sensor Network (WSN)   Compressed Sensing (CS)   data collection   routing   sparse projection
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号